Gastrointestinal stromal tumors diagnosis on multi-center endoscopic ultrasound images using multi-scale image normalization and transfer learning

BACKGROUND: Automated diagnosis of gastrointestinal stromal tumors’ (GISTs) cancerization is an effective way to improve the clinical diagnostic accuracy and reduce possible risks of biopsy. Although deep convolutional neural networks (DCNNs) have proven to be very effective in many image classifica...

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Detalles Bibliográficos
Autores principales: Liu, Chengcheng, Guo, Yi, Jiang, Fei, Xu, Leiming, Shen, Feng, Jin, Zhendong, Wang, Yuanyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028612/
https://www.ncbi.nlm.nih.gov/pubmed/35124583
http://dx.doi.org/10.3233/THC-228005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028612/
https://www.ncbi.nlm.nih.gov/pubmed/35124583
http://dx.doi.org/10.3233/THC-228005

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